Research of image recognition method based on enhanced inception-ResNet-V2

• Published in: Multimedia tools and applications Vol. 81; no. 24; pp. 34345 - 34365
• Main Authors: Peng, Cheng, Liu, Yikun, Yuan, Xinpan, Chen, Qing
• Format: Journal Article
• Language: English
• Published: New York Springer US 01.10.2022; Springer Nature B.V
• Subjects: 1168: Deep Pattern Discovery for Big Multimedia Data; Accuracy; Algorithms; Artificial neural networks; Breast cancer; Classification; Comparative studies; Computer Communication Networks; Computer Science; Data Structures and Information Theory; Deep learning; Feature extraction; Image classification; Image enhancement; Multimedia; Multimedia Information Systems; Neural networks; Object recognition; Special Purpose and Application-Based Systems; Deep learning; Feature extraction; Convolutional neural network; Image classification

In order to improve the accuracy of CNN (convolutional neural network) in image classification, an enhanced Inception-ResNet-v2 model based on CNN is designed through the comparative study and analysis of the structure of classification model. This paper proposes to use multi-scale depthwise separab...